Forstock Blog

December 12, 2025

Ultimate Guide to Reorders with Turnover Data

Use inventory turnover (COGS ÷ average inventory) to set reorder points, calculate EOQ, and adjust for seasonality to reduce stockouts and free cash.

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December 9, 2025

How AI Improves Demand Scenario Planning

Learn how AI cuts forecast errors 20–50%, speeds scenario planning from weeks to hours, and unifies sales and supply data for smarter inventory decisions.

Rami Farah

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December 4, 2025

5 Ways Inventory Turns Impact Cash Flow

How inventory turnover affects cash flow, margins, and stockouts — 5 ways merchants can use forecasting and supplier tactics to free working capital.

Rami Farah

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December 3, 2025

Checklist for Faster Purchase Order Approvals

Streamline PO approvals with clear goals, standardized SKUs, approval tiers, and automation to reduce delays, errors, and stockouts.

Rami Farah

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December 2, 2025

Top Features to Look for in Shopify Purchase Order Apps

Key features of Shopify purchase order apps: real-time sync, automated POs, AI forecasting, supplier lead-time tracking, and multi-location analytics.

Rami Farah

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December 1, 2025

Best Practices for Supplier Integration in Shopify

Structured data, automated reordering, supplier scorecards, and clear exception rules prevent stockouts and turn supplier integration into a competitive advantage.

Featured articles

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December 25, 2025

AI Stockout Prediction for Shopify Brands

Predict and prevent stockouts using AI: clean sales data, track SKU and lead-time metrics, and automate reorder points to reduce lost sales and overstock.

How to Choose a Scalable Inventory Platform

Guide to choosing a scalable inventory platform: assess growth, Shopify integration, AI forecasting, automation, multi-location support, and total cost.

Checklist for Setting Up Automated Reorder Points

Step-by-step checklist to calculate reorder points, enable AI forecasts, automate purchase orders, and monitor inventory in Shopify.

5 Common Problems with Manual Inventory Tracking

Manual inventory tracking leads to errors, wasted labor, outdated stock data, scaling issues, and weak reporting—why automation fixes them.

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